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v1 at converting eprime .txt to pandas.DataFrame
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import pandas as pd | |
F = '/fs0/New_Server/RC_LMS/In_Behavioral/028_207757/PassagesV2_ListA-7757-1.txt' | |
def parse(f): | |
data = {} | |
text = open(f).read().decode('utf-16').replace('\r\n', '\r').splitlines() | |
start_ind = (i for i, _ in enumerate(text) if _ == '\t\t*** LogFrame Start ***') | |
end_ind = (i for i, _ in enumerate(text) if _ == '\t\t*** LogFrame End ***') | |
for i, se in enumerate(zip(start_ind, end_ind)): | |
s, e = se | |
for row in text[s + 1: e]: | |
k, v = row.strip().replace(': ', ':').split(':') | |
if k not in data: | |
data[k] = [[], []] | |
data[k][0].append(v) | |
data[k][1].append(i) | |
# Massage | |
new_data = {} | |
for k, v in data.items(): | |
ser = pd.Series(v[0], index=v[1]) | |
new_data[k] = ser | |
return pd.DataFrame(new_data) | |
df = parse(F) |
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